Alteryx is mainly used for data workflows and data preparation.
Practice Head, Analytics at a tech services company with 201-500 employees
Simple implementation, reliable, but more data science features needed
Pros and Cons
- "The Alteryx designer has been the most useful feature in the solution."
- "Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
What is our primary use case?
What is most valuable?
The Alteryx designer has been the most useful feature in the solution.
What needs improvement?
Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up.
For how long have I used the solution?
I have used Alteryx for approximately three years.
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What do I think about the stability of the solution?
Alteryx is a stable solution.
What do I think about the scalability of the solution?
The scalability of Alteryx is good.
How are customer service and support?
The technical support from Alteryx is good.
I rate the support from Alteryx a four out of five.
How was the initial setup?
The initial setup of Alteryx was straightforward.
What about the implementation team?
The amount of people needed for the implementation depends on the use case. It can vary from one to five data engineers and data scientists, but if it is a very large project, you might need 10 people involved. It all varies on the size of the project and the use cases.
What was our ROI?
There have been cases where people were building some data pipeline manually or building some reports manually, and they used to take one month. After the implementation of Alteryx, the turnaround time has been reduced to 10 minutes or maybe in some cases, a couple of minutes. If the timeframe or effort is coming down from one month and with multiple persons working to a couple of minutes automated, there is a huge volume of ROI.
What other advice do I have?
My advice to others is before implementing the Alteryx, they need to be very sure about their use case. Based on the use case, they should plan the implementation.
I rate Alteryx seven out of ten.
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Solutions Engineer at a computer software company with 201-500 employees
Scalable, reliable, and good technical support
Pros and Cons
- "The solution has been stable."
- "The solution could improve in the visualization."
What is our primary use case?
I have multiple clients that are using this solution and the use cases can be very specific to the domain they are coming from.
I am an Alteryx designer and I have been trying to fine-tune the operations. Most recently I have been getting more involved with predictive analytics. I am transitioning from the ETL to an advanced analytics platform and then doing the seamless integration with the BI tools. These are the areas I have been exploring and currently, I am only working on use cases that are very specific to this area.
What needs improvement?
The solution could improve in the visualization. There is a reporting palette available, but I do not think organizations would rely just on that one pallet. We need a BI tool for larger implementation reporting. The visualization cannot just be the basic visualization but immediate reporting.
When comparing this solutions' BI tool to major competitors, such as Tableau and Power BI, the competitors both massively use visualization and dashboarding whereas this solution does not. However, this solution is much further ahead in other areas, for example, deployment. When it comes to just the visualization it not fair to compare these solutions.
For how long have I used the solution?
I have been using the solution within the last 12 months.
What do I think about the stability of the solution?
The solution has been stable.
What do I think about the scalability of the solution?
What I know of the solution it can scale very well.
How are customer service and technical support?
I have not used support very much in the past. However, during the one or two cases when we had to use the support, we received a solution from them promptly.
How was the initial setup?
The installation is fairly simple and straightforward. We had no issues with the implementation.
What about the implementation team?
Previously I have used consultants for the implementation but I can now do it myself.
What's my experience with pricing, setup cost, and licensing?
There is a license required for this solution.
Which other solutions did I evaluate?
I have previously evaluated Tableau and Power BI.
What other advice do I have?
I would recommend this solution to others.
I rate Alteryx an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Buyer's Guide
Alteryx
November 2024
Learn what your peers think about Alteryx. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
814,649 professionals have used our research since 2012.
Solutions Consultant at a tech services company with 1,001-5,000 employees
A complete solution with very good user experience and a nice user interface
Pros and Cons
- "The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions."
- "There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
What is our primary use case?
We're using the solution primarily to clean up some of our customer CRM data and to integrate it with some of our Salesforce requirements.
What is most valuable?
The UX (user experience) is quite good on this solution. The UI (user interface) is also excellent.
The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions.
What needs improvement?
For the most part, the solution is very complete, and there isn't much missing.
The designer license lacks a few features that the server has.
There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high.
For how long have I used the solution?
I've been using the solution for just over a year at this point. It hasn't been too long.
What do I think about the stability of the solution?
The stability of the solution is very good. It's reliable. We have not experienced issues like bugs and glitches. It doesn't crash.
What do I think about the scalability of the solution?
Only a small number of people use the solution in our organization. There are about four people on it. They are a mix of engineers, architects, and some data integration specialists.
There is a possibility to scale the solution. For the designer license, it's quite possible. Another server may be required, however.
How are customer service and technical support?
The technical support has been very good. I'd rate it ten out of ten. We're quite satisfied with the level of service we've been provided. They are helpful.
Which solution did I use previously and why did I switch?
We did previously use R and Python solutions before we switched to Alteryx. They were okay, but a bit difficult to work with.
Alteryx is easier to set up and implement. It allowed us to also focus on different aspects of the business.
How was the initial setup?
The initial setup is simple. It's very straightforward. I wouldn't describe the implementation as complex.
Deployment takes about an hour if a user is installing the regular application.
The solution does not require maintenance.
What about the implementation team?
In terms of the installation, I had to request the process from IT. However, it was fairly simple. I did the initial implementation of the platform. That said, I did require the help of some of our data scientists. It was all in-house. We didn't require the help of an integrator or consultant.
What's my experience with pricing, setup cost, and licensing?
I don't have any idea how much the solution costs. I don't deal with that aspect of the solution. I do believe the pricing is publicly listed on their website.
What other advice do I have?
We're simply users of the solution. We don't have a professional relationship with Alteryx.
We're currently using the designer license, however, I'm not sure of the exact version I'm currently on right now. I believe it is the latest version.
There's a 14-day free trial for those organizations that would like to try the solution before they commit to anything.
I would recommend the solution, 100%. It basically has everything we need. While we don't have all the features on offer in our particular license, it does have everything we need, and if our needs change, we can always move up to the next tier.
I'd rate the solution nine out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Data Analytics Engineer at a tech services company with 11-50 employees
Easy to set up with a good interface and straightforward scalability
Pros and Cons
- "The scheduling feature for the automation is excellent."
- "The technical support could have a little bit of improvement."
What is our primary use case?
Most of my use cases have been around just helping customers out, specifically in the financial sector. Within our company, I've been automating the reports, project reports, and using it mostly for the automation of weekly reports in our company.
What is most valuable?
The scheduling feature for the automation is excellent. The machine learning suite has been pretty useful in terms of building models. I've been exploring it for a while. The in-database tools are extremely useful as well.
The interfaces are perfect.
The solution is easy to set up.
The stability is quite good.
We have found that the scalability is good and very easy to handle.
What needs improvement?
I still haven't had any issues with the Alteryx designer. I don't have anything to speak negatively of now, however, I'm sure there are some features that need improvement.
The technical support could have a little bit of improvement.
They should work to make the solution less expensive.
The product needs some more tools for the image processing part. That would be pretty good. There's an image processing suite, however, it could use a little bit of improvement as well as the visualization aspect.
They should maybe add some capabilities for more interactive dashboarding. That would be great.
For how long have I used the solution?
I've been using Alteryx for a while now. I'm still learning about it. I'm still exploring it, but I've been using it for a while.
I've been using it for a little bit over six months now.
What do I think about the stability of the solution?
The product has been pretty stable, however, we aren't heavily utilizing the solution. It's hard to pass a fair judgment on our part, as we don't have that many users and the utilization of the server and designer haven't been very heavy so far. That said, for us, it's been extremely stable.
What do I think about the scalability of the solution?
The scalability is extremely easy and very straightforward on Alteryx, especially the server for the controllers. You can easily start adding nodes for workers as well. The scalability is one of the things that get our customers mostly excited about how easy it is to start scaling the server.
In our organization, we have four Alteryx designer users and eight or nine server users.
How are customer service and support?
Technical support is okay and could be better. Sometimes, it takes about two to five days to hear an answer from the technical support team. That said, when they do reply, they're very helpful. The community is very helpful. However, due to the fact that there's such a wide range of issues that could be going on, you could get lost in trying to find a solution on the community.
Which solution did I use previously and why did I switch?
I have not personally used any different solution.
How was the initial setup?
The initial setup is extremely straightforward.
It took about 30 minutes for the designer and the server overall to be deployed. It was easy and it's really fast.
There isn't much maintenance needed. I handle all of the maintenance myself.
What about the implementation team?
Everything was handled by the company in-house. We didn't need any help from consultants or integrators.
What was our ROI?
While we have personally seen ROI so far, I wouldn't be the one to make that judgment as to how much. That's mostly due to the fact that I'm the data engineer. I don't have a look at the numbers. I just automate processes and help customers out. That said, customers are happy with their investment in this product overall.
What's my experience with pricing, setup cost, and licensing?
Since we're partners, we get licenses. That said, from the feedback I hear, the price is a little bit more on the expensive side.
We do yearly subscriptions. There are machine learning suites that do come at an extra cost as well.
What other advice do I have?
We are partners with Alteryx.
I'm using version 21, the latest version, which may be either 21.1.4 or 0.3.2.
I would advise potential new users to go through the community to learn. They should go through the learning path for the Alteryx solution for both the designer and the server. It's good to take it slowly. New users should be able to do this within a month or two. The solution is pretty straightforward to learn.
I'd rate the solution at an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Business intelligence specialist at a energy/utilities company with 1,001-5,000 employees
User-friendly, reliable, good documentation, and has good support
Pros and Cons
- "The most valuable feature for me is integration."
- "The workflow and pipeline need to improve."
What is our primary use case?
I use Alteryx for integration, data integration, and advanced analytics with several companies.
What is most valuable?
Alteryx integrates well. The most valuable feature for me is integration.
I can read data from a database on the web and import it into my Alteryx database.
It is very easy to use.
It's quite user-friendly, which I enjoy.
What needs improvement?
The workflow and pipeline need to improve. For example, if you have a job running, and you need to run another, the scheduling could be easier in Alteryx.
In the next release, I would like to see the completed pipeline, improved workflow with data, easier, and better scheduling to allow tasks to run one after the other.
For how long have I used the solution?
I have been using Alteryx for one year.
We are using the latest version.
The Alteryx server is running on an EC2 AWS computer, and we have the desktop version installed on our notebooks.
What do I think about the stability of the solution?
Alteryx is a stable solution. We had no issues with bugs or glitches.
What do I think about the scalability of the solution?
It is easy to scale.
How are customer service and support?
Technical support is very good.
How was the initial setup?
It took us two years to implement Alteryx in our organization.
What other advice do I have?
I would recommend this solution. I like it.
I would rate Alteryx a nine out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Product Manager at a tech services company with 201-500 employees
Scalable, easy to set up, and has a simple GUI
Pros and Cons
- "The GUI is simple and it integrates with Python."
- "We are hoping that the NLP features will also support Chinese characters."
What is our primary use case?
We are mainly using Alteryx for data preparation and processing data.
We are also monitoring for some of our customers, in product analysis, regressions or customer segmentations, and column correlations analysis.
What is most valuable?
The GUI is simple and it integrates with Python.
What needs improvement?
For the area in Alteryx, such as the server the prices are high and it would be better to reduce the fees.
Some of the new tools in the intelligence Suite are the Optical Character Recognition (OCR) and the Natural Language Processing (NLP) language for English characters. We are hoping that the NLP features will also support Chinese characters.
For how long have I used the solution?
We started carrying Alteryx in February of this year, 2020.
What do I think about the stability of the solution?
Alteryx is a stable product.
What do I think about the scalability of the solution?
This is a very scalable solution. For every organization or company, there are a few data scientists working with Alteryx. For some of the enterprise, they have a team of five working with this solution, whereas others have two.
How are customer service and technical support?
Community support is good, but I have not yet contacted technical support. I am not able to assess them.
Which solution did I use previously and why did I switch?
As a Data Scientist Platform, Alteryx is the first platform that we have worked with.
I have worked with IBM and some other vendors from Hong Kong.
How was the initial setup?
The initial setup is easy, straightforward, and simple.
Within hours, I can have the designer up and running.
What's my experience with pricing, setup cost, and licensing?
The price for Alteryx Designer is reasonable but the price of the Alteryx Server for universal collaborations is too expensive.
Which other solutions did I evaluate?
I am currently doing a comparison between Data IQ and Alteryx.
What other advice do I have?
Most of our clients in Hong Kong are on-premises because they don't want to share the data on the Cloud.
We use several other products because we want a unified platform for our customers.
If you have experience with Excel, macros, or VBA then you have a great foundation to use Alteryx.
I would rate Alteryx an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: partner
Technical director, BGFi Data & Analytics - Asia Pacific at Positive Thinking Company
Good data preparation features help to provide flexible and accurate analytics
Pros and Cons
- "The most valuable feature of this solution is data preparation."
- "The event handling, such that the file system watcher, is in need of improvement."
What is our primary use case?
We use this solution for self-service data preparation from data warehouses and data marts.
How has it helped my organization?
It gives the power back to the end-users. It brings flexibility and accuracy to our new analytics.
What is most valuable?
The most valuable feature of this solution is data preparation.
Alteryx Connect (data catalog) is also really important for us.
What needs improvement?
The event handling, such that the file system watcher, is in need of improvement.
For how long have I used the solution?
We have been using this solution for one year.
Disclosure: My company has a business relationship with this vendor other than being a customer: We are one of the principal partners and trainers of Alteryx in Singapore
Intuitive and you don’t need to know how to write code to use it.
What is most valuable?
Data Blending and Predictive Analytics: Alteryx is very intuitive and you don’t need to know how to write code to use Alteryx.
How has it helped my organization?
It helped us reduce time blending data from multiple sources into one file. Our analyst’s time was cut from two days to one hour of data blending and the output was amazing! And we could map out file-run predictive analytics in the same tool.
What needs improvement?
Visualization: There is room to improve here.
For how long have I used the solution?
I have used it for two years; this is our third year using Alteryx Designer.
What do I think about the stability of the solution?
I did not encounter any stability issues.
What do I think about the scalability of the solution?
I did not encounter any scalability issues.
How are customer service and technical support?
I haven’t had to call tech support.
Which solution did I use previously and why did I switch?
I did not previously use a different solution. I used to copy and paste and convert data.
How was the initial setup?
Initial setup was straightforward.
What's my experience with pricing, setup cost, and licensing?
Buy a single desktop license, and if more is needed, you can expand. Initially I would advise clients to start with the 14-day trial license.
Which other solutions did I evaluate?
I did not evaluate other options.
What other advice do I have?
Try the free trial.
As a multiple data source blending tool and predictive analytics tool, Alteryx stands out from an ease-of-use and flexibility perspective.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: November 2024
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Agreed that there is room for improvement in Visualization...